On Wed, Mar 26, 2014 at 5:17 PM, Olivier Grisel <olivier.grisel@ensta.org> wrote:
My understanding of Carl's effort is that the long term goal is to have official windows whl packages for both numpy and scipy published on PyPI with a builtin BLAS / LAPACK implementation so that users can do `pip install scipy` under windows and get something that just works without have to install any compiler (fortran or C) nor any additional library manually.
Most windows users are beginners and you cannot really expect them to understand how to build the whole scipy stack from source.
The current solution (executable setup installers) is not optimal as it requires Administrator rights to run, does not resolve dependencies as pip does and cannot be installed in virtualenvs.
as small related point: The official installers can be used to install in virtualenv The way I do it: Run the superpack, official installer, wait until it extracts the correct (SSE) install exe, then cancel Then easy_install the install exe file that has been extracted to the temp folder into the virtualenv. I don't remember if the extraction already requires admin rights, but I think not. easy_install doesn't require any, IIRC. Josef
If we can build numpy / scipy whl packages for windows with the Atlas dlls then fine embedded in the numpy package then good. It does not need to be the fastest BLAS / LAPACK lib in my opinion. Just something that works.
The problem with ATLAS is that you need to select the number of thread at build time AFAIK. But we could set it to a reasonable default (e.g. 4 threads) for the default windows package.
-- Olivier _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion